shinyExprPortal

shinyExprPortal provides configurable shiny-based web portals to present and explore molecular expression data (transcriptomic and proteomic) and associated phenotypic information for dissemination and analysis.


Key Features:

  • Shiny-based portal framework: Implements configurable portals using the 'shiny' framework to present analyses and visualizations.
  • Supported data types: Supports transcriptomic and proteomic expression data together with associated phenotypic information.
  • Analytical presentations: Presents differential expression analysis, co-expression studies, and pathway analysis.
  • Interactive visualizations: Provides dynamic visualizations for exploration of complex datasets and presentation of publication-quality plots.
  • Workflow integration: Integrates with existing bioinformatics workflows to load and present analysis results and plots.

Scientific Applications:

  • Result dissemination: Dissemination of comprehensive omics analysis results through web-accessible portals that extend beyond static figures.
  • Exploratory data analysis: Interactive exploration and interrogation of transcriptomic and proteomic datasets alongside phenotypic metadata.
  • Reproducibility and collaboration: Centralized presentation of analyses and plots to support reproducibility and collaborative review of omics studies.

Methodology:

Uses the 'shiny' framework to construct configurable web applications that display differential expression, co-expression, and pathway analysis results and interactive visualizations of transcriptomic and proteomic expression data with associated phenotypic information.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
6/18/2024
Last Updated:
6/18/2024

Operations

Data Inputs & Outputs

Publications

Henkin R, Goldmann K, Lewis M, Barnes MR. shinyExprPortal: a configurable ‘shiny’ portal for sharing analysis of molecular expression data. Bioinformatics. 2024;40(4). doi:10.1093/bioinformatics/btae172. PMID:38552327. PMCID:PMC11021805.

Links